datavruti
Website:
datavruti.com
Job details:
Hiring for: A US-based, AI-first data solutions company founded by seasoned technology leaders.
Role: Forward Deployed Engineer - Agentic & Gen AI
Positions: 1
Experience: 5 to 12 years
Location(s): Bangalore, Chennai
Type: On-site, Remote / Permanent
Salary: Up to INR 30 LPA
Notice Period: 15 days
About Role:
We are looking for an experienced Forward Deployed Engineer – Agentic AI & Generative AI to work closely with clients, business stakeholders, and internal engineering teams to design, build, and deploy production-grade AI solutions.
The ideal candidate will have strong hands-on expertise in Generative AI, LLMs, Agentic AI, Python, RAG, APIs, and enterprise integrations, combined with strong software engineering and problem-solving skills. The candidate should be comfortable working in ambiguous environments, rapidly prototyping solutions, and taking them through to production.
Key Responsibilities:
Forward Deployed Engineering
- Work directly with clients to understand business challenges, workflows, and technical requirements.
- Translate business requirements into scalable AI/GenAI solutions.
- Design, develop, test, and deploy AI-powered applications and workflows.
- Build rapid POCs and convert successful prototypes into production-ready solutions.
- Work closely with client engineering teams, Data Scientists, ML Engineers, and Solution Architects.
- Troubleshoot production issues and continuously optimize deployed solutions.
- Act as a technical bridge between clients and internal delivery/engineering teams.
Agentic AI & Generative AI
- Design and develop AI agents and agentic workflows capable of multi-step reasoning, planning, tool usage, and task execution.
- Develop solutions using LLMs such as Claude, OpenAI, Azure OpenAI, Gemini, or equivalent platforms.
- Build RAG (Retrieval-Augmented Generation) applications using enterprise data.
- Work with embeddings, vector databases, semantic search, and hybrid search.
- Implement prompt engineering, structured outputs, function/tool calling, context management, and memory.
- Develop AI-powered solutions for document processing, summarization, classification, information extraction, decision support, and workflow automation.
- Develop and implement multi-agent workflows where applicable.
AI Security & Governance
- Design secure enterprise AI solutions with appropriate RBAC, ACLs, and data access controls.
- Ensure that users can access only authorized information in RAG and agentic workflows.
- Implement retrieval filtering, secure context construction, audit logging, and data privacy controls.
- Evaluate AI applications for accuracy, relevance, hallucination, security, latency, and cost.
- Implement appropriate guardrails and responsible AI practices.
Engineering & Productionization
- Develop production-grade applications and APIs using Python and modern software engineering practices.
- Integrate AI solutions with enterprise applications, databases, APIs, and cloud platforms.
- Implement CI/CD, Git, testing, monitoring, and deployment practices.
- Optimize solutions for performance, scalability, reliability, and cost.
- Work with cloud platforms such as AWS, Azure, or GCP.
- Collaborate with Data Engineering and ML teams to productionize AI solutions.
Required Skills & Experience
- 5–12 years of experience in Software Engineering, Data Science, AI/ML Engineering, or related fields.
- Strong hands-on experience with Generative AI and LLM-based applications.
- Strong proficiency in Python.
- Hands-on experience with Agentic AI / AI Agents.
- Experience with RAG, embeddings, vector databases, and semantic search.
- Experience with LLM APIs such as Claude, OpenAI, Azure OpenAI, or Gemini.
- Strong understanding of REST APIs and enterprise system integration.
- Experience building and deploying production-grade applications.
- Strong understanding of AI evaluation, security, and governance.
- Excellent problem-solving and client-facing communication skills.
Preferred Skills
- Experience with LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
- Hands-on experience with Claude / Anthropic APIs.
- Experience with Databricks, Snowflake, or modern data platforms.
- Experience with AWS, Azure, or GCP.
- Experience with Docker, Kubernetes, and CI/CD.
- Experience implementing AI guardrails and enterprise security.
- Knowledge of multi-agent architectures and agent orchestration.
- Experience working in consulting, solution engineering, or client-facing technical roles.
Key Competencies
- Strong builder and ownership mindset.
- Ability to work effectively in ambiguous and fast-paced environments.
- Strong client and stakeholder management skills.
- Ability to quickly understand business problems and design practical solutions.
- Excellent communication and presentation skills.
- Strong systems thinking and technical problem-solving ability.
- Ability to balance business value, technical feasibility, security, scalability, and cost.
Education
Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, or a related discipline.
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