Binocs.co Forward Deployment Engineer: Eligibility, Skills, Salary and Application Details
Binocs.co is hiring for a Forward Deployment Engineer position in Bengaluru. This is a full-time, in-office opportunity for candidates interested in combining software engineering, Generative AI, customer implementation and product development.
The role is designed for candidates with 0–2 years of experience, and the listing specifically welcomes fresh graduates with strong technical projects. The selected engineer will work closely with Product, Engineering and customer-facing teams to understand business requirements and build AI-powered solutions for real-world use cases.
The position offers a listed compensation range of ₹10 lakh to ₹20 lakh, with no equity. Relocation is allowed, while visa sponsorship is not available.
Binocs.co Forward Deployment Engineer – Job Overview
| Particular | Details |
|---|---|
| Company | Binocs.co |
| Job Role | Forward Deployment Engineer |
| Job Type | Full Time |
| Location | Bangalore Urban / Bengaluru |
| Work Mode | In Office |
| Experience | 0–2 years; detailed requirement states 0–1 years |
| Salary | ₹10 lakh – ₹20 lakh |
| Equity | No equity |
| Reporting To | CTO / Founders |
| Primary Areas | AI, GenAI, LLMs, Customer Implementation, Engineering |
| Preferred Programming Language | Python |
| Core AI Skills | LLMs, RAG, AI Agents, Agentic AI |
| Frameworks | LangChain, LangGraph and similar frameworks |
| Cloud / DevOps | Git, Docker and cloud platforms are good to have |
| Visa Sponsorship | Not Available |
| Relocation | Allowed |
| Application Deadline | Not specified |
About Binocs.co
Binocs.co is developing an operating system for investment research and underwriting.
The company describes its proprietary Generative AI agent architecture as being designed to help private equity, private credit and M&A teams conduct detailed investment due diligence and research.
The Forward Deployment Engineer will work at the intersection of AI, engineering, product and customer implementation, helping translate real-world business requirements into working AI-powered solutions.
About the Forward Deployment Engineer Role
The Forward Deployment Engineer is a highly hands-on position involving both technical development and customer-facing work.
Rather than focusing exclusively on software development, the engineer will interact with Product and customer-facing teams, understand customer workflows, develop customised AI solutions and help deploy those solutions in real-world environments.
The role is particularly suited to someone who enjoys:
- Building
- Experimenting
- Debugging
- Learning quickly
- Solving ambiguous problems
- Working directly with customers
The position reports to the CTO / Founders, according to the listing.
Key Responsibilities
Understand Customer Requirements
The engineer will work with Product and customer-facing teams to understand:
- Customer workflows
- Business requirements
- Implementation needs
- Real-world problems
The ability to translate ambiguous requirements into practical technical solutions is an important part of the role.
Build AI and LLM Solutions
The selected candidate will build and customise AI/LLM-powered solutions for real-world use cases.
This includes working with modern Generative AI technologies and relevant AI frameworks.
Develop Prototypes and Integrations
Responsibilities include developing:
- Prototypes
- Integrations
- APIs
- Automation workflows
These solutions may need to be customised according to specific customer requirements.
Work With RAG and AI Agents
The role involves working with:
- Large Language Models
- Retrieval-Augmented Generation (RAG)
- AI agents
- Agentic workflows
- Relevant AI tools and frameworks
Candidates interested in building practical GenAI applications can therefore find significant exposure to modern AI application development.
Debug and Improve Deployed Solutions
The engineer will investigate technical issues and improve the performance and reliability of deployed AI solutions.
This requires strong debugging and problem-solving abilities.
Move Prototypes Into Production
Successful prototypes will be developed further in collaboration with the Engineering team and taken into production.
This provides exposure to the transition from experimental AI applications to production-grade systems.
Incorporate Customer Feedback
The role includes gathering customer feedback and translating that feedback into improvements to the product.
Work Across Multiple Functions
The engineer will gain exposure to:
- Engineering
- Artificial Intelligence
- Product
- Customer implementation
This cross-functional nature is a central part of the position.
Eligibility and Required Skills
Experience
The listing presents the role as suitable for candidates with 0–2 years of experience.
However, the detailed “What We’re Looking For” section specifies 0–1 years of experience and explicitly states that fresh graduates with strong technical projects are welcome.
Candidates should therefore consider the detailed requirement while reviewing their eligibility.
Programming Fundamentals
Strong programming fundamentals are required.
Python is the preferred programming language mentioned in the listing.
APIs and Databases
Candidates should understand:
- APIs
- Databases
- Basic software engineering concepts
This indicates that applicants need foundational software development knowledge in addition to AI familiarity.
Generative AI and Machine Learning
Candidates should have exposure to areas such as:
- LLMs
- Generative AI
- RAG
- AI agents
- Machine learning
This exposure can come from:
- Internships
- Academic projects
- Personal projects
- Coursework
Problem-Solving and Debugging
Strong problem-solving and debugging skills are important for the position.
Candidates should be comfortable investigating unclear technical problems and finding practical solutions.
Working With Ambiguous Problems
The role requires the ability to understand ambiguous problems and develop practical approaches to solving them.
This is particularly relevant in a customer-facing implementation environment where requirements may evolve during development.
Communication
Strong communication skills are required because the engineer will work directly with customers and cross-functional teams.
Candidates should be comfortable understanding requirements, explaining technical solutions and gathering feedback.
Ownership and Learning
The company is looking for candidates who demonstrate:
- High ownership
- Curiosity
- Willingness to learn
- Bias toward execution
Good-to-Have Skills
The following skills and experience can provide an advantage.
LLM APIs and Frameworks
Experience with:
- OpenAI APIs
- Anthropic APIs
- LangChain
- LangGraph
- Similar AI frameworks
can be beneficial.
AI Application Development
Experience building AI/GenAI projects or deploying AI applications is useful.
Candidates with projects that demonstrate an end-to-end application rather than only theoretical experimentation can highlight those projects.
Software and Cloud Tools
Familiarity with:
- Git
- Docker
- Cloud platforms
- SQL
is listed as an advantage.
Financial and Investment Domain
Interest or exposure to:
- Fintech
- Financial research
- Investment workflows
can also be helpful given Binocs.co’s focus on investment research and underwriting.
Salary and Compensation
The listed compensation range for the position is:
₹10 lakh – ₹20 lakh
The listing states that the role offers no equity.
The supplied information does not provide a detailed breakdown of fixed salary, variable compensation or additional monetary benefits.
Work Location and Work Mode
The Forward Deployment Engineer position is based in Bangalore Urban, Bengaluru.
The listing specifies:
In office
Candidates should therefore be prepared to work from the company’s Bengaluru office.
Relocation is allowed, while visa sponsorship is not available.
Why Join Binocs.co?
The company highlights several aspects of the opportunity:
- Work on production-grade GenAI applications
- Exposure to customers, product and engineering
- Direct interaction with founders and senior technology leaders
- Early ownership of projects
- Opportunity to work in a high-impact startup environment
- Exposure to enterprise AI and investment workflows
The role can provide experience across the full path from understanding a customer problem to building, deploying and improving an AI-powered solution.
Application Tips
Candidates applying for this position should focus on demonstrating practical technical ability.
Highlight AI Projects
Include projects involving:
- LLMs
- RAG
- AI agents
- GenAI
- APIs
- Machine learning
Explain your specific contribution to each project.
Show End-to-End Development
Projects that demonstrate the process from idea to prototype to deployment can be particularly useful for this role.
Include GitHub or Portfolio Work
Since fresh graduates with strong technical projects are welcomed, a GitHub profile or portfolio can provide evidence of practical skills.
Demonstrate Customer or Team Collaboration
If you have worked on projects involving users, clients, product teams or cross-functional groups, mention that experience.
Explain Problem-Solving
Prepare examples showing how you approached ambiguous requirements, identified technical issues and developed solutions.
Mention Relevant AI Frameworks
Clearly identify hands-on experience with technologies such as LangChain, LangGraph, OpenAI or Anthropic APIs, where applicable.
Who Can Apply?
The role can be relevant to:
- Fresh graduates with strong technical projects
- Candidates with 0–1 years of experience
- Candidates within the broader 0–2-year experience range mentioned in the listing
- Engineers with Python knowledge
- Candidates with AI/ML or GenAI project experience
- Candidates familiar with LLMs and RAG
- Candidates interested in AI agents and agentic workflows
The supplied listing does not specify a particular degree, graduation year, CGPA or academic percentage.
Selection Process
The supplied job description does not specify the complete selection process.
Candidates should not assume a particular number of coding rounds, technical interviews, HR discussions or assignments unless these are communicated separately by the company.
Important Details for Applicants
- Binocs.co is hiring a Forward Deployment Engineer.
- The role is full time.
- The position is based in Bengaluru.
- The work arrangement is in office.
- The listed salary is ₹10 lakh–₹20 lakh.
- The role offers no equity.
- The listing states 0–2 years of experience, while the detailed requirements specify 0–1 years.
- Fresh graduates with strong technical projects are welcome.
- Python is the preferred programming language.
- Knowledge of APIs, databases and software engineering fundamentals is required.
- Exposure to LLMs, GenAI, RAG, AI agents or ML projects is expected.
- OpenAI/Anthropic APIs, LangChain and LangGraph are good-to-have skills.
- Git, Docker, cloud platforms and SQL are also listed as advantages.
- Interest in fintech, financial research or investment workflows can be useful.
- The role reports to the CTO / Founders.
- Relocation is allowed.
- Visa sponsorship is not available.
- The application deadline is not specified.
Frequently Asked Questions
What is the Binocs.co Forward Deployment Engineer role?
It is a full-time engineering position focused on building, deploying and improving AI/LLM-powered solutions for real-world customer use cases.
Where is the job located?
The role is based in Bengaluru and is listed as an in-office position.
What is the salary?
The listed compensation range is ₹10 lakh to ₹20 lakh, with no equity.
How much experience is required?
The listing gives two figures. The headline says no experience required, the role description states 0–2 years, and the detailed requirements state 0–1 years. Fresh graduates with strong technical projects are explicitly welcome.
Can fresh graduates apply?
Yes. The listing specifically states that fresh graduates with strong technical projects are welcome.
What programming language is preferred?
Python is the preferred programming language.
What AI skills are required?
Candidates should have exposure to LLMs, Generative AI, RAG, AI agents or machine learning projects.
Which AI frameworks are preferred?
The listing mentions LangChain, LangGraph, OpenAI APIs and Anthropic APIs, along with similar frameworks.
Is customer interaction part of the role?
Yes. The engineer will work directly with customer-facing teams and is expected to understand customer workflows, gather feedback and help develop practical solutions.
Is relocation available?
Yes. The listing states that relocation is allowed.
Is visa sponsorship available?
No. The listing states that visa sponsorship is not available.
What degree is required?
The supplied listing does not specify a particular degree or academic qualification.
What is the application deadline?
The application deadline is not specified in the provided information.
Conclusion
The Binocs.co Forward Deployment Engineer role offers a full-time opportunity in Bengaluru for candidates interested in the intersection of AI, software engineering, product development and customer implementation.
The position involves building and customising LLM-powered solutions, developing APIs and automation workflows, working with RAG and AI agents, debugging deployed systems and taking successful prototypes into production.
The listed compensation is ₹10 lakh–₹20 lakh, with no equity. While the listing gives varying experience descriptions, it explicitly welcomes fresh graduates with strong technical projects. Candidates with practical Python, GenAI, LLM, RAG or AI-agent projects can use those projects to demonstrate their suitability for the role.
Applicants should verify the latest recruitment details, including the exact experience requirement and selection process, before applying.