Forward Deployed AI Engineer

Fresh Gravity; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Fresh Gravity is seeking a Forward Deployed AI Engineer in Pune, India. The role focuses on turning ambiguous business problems into working AI solutions—designing, building, and iterating with users and clients until real value is delivered.

This hands-on, high-impact position requires ownership beyond writing code. You will work directly with users, product leaders, and client teams to turn loosely defined ideas into usable products, building production-grade applications using LLMs, agents,

Qualifications

• Strong Python skills and real software development experience.
• Hands-on experience with modern LLMs (OpenAI, Anthropic, Gemini, Llama, or similar).
• Experience with RAG, embeddings, semantic search, or knowledge-based AI systems.
• Familiarity with agent/orchestration frameworks (LangGraph, LangChain, LlamaIndex, Semantic Kernel).
• Comfort with APIs, databases, Git, Docker and cloud platforms.
• Ability to work independently and make technical decisions when requirements are unclear.
• Strong system-design fundamentals: data handling, APIs, scalability, reliability, and cost.

Responsibilities

• Own AI solutions end-to-end from problem understanding to deployment.
• Collaborate with users, product leaders, and client teams to shape usable products.
• Build production-grade applications using LLMs, agents, RAG, and enterprise systems.
• Design agentic workflows involving tool use, memory, and human-in-the-loop steps.
• Prototype rapidly, gather feedback, and evolve solutions into scalable products.
• Debug across prompts, models, retrieval, code, data, and infrastructure for reliability.
• Design end-to-end systems spanning data, APIs, logic, AI components, and UX.
• Balance performance, reliability, security, latency, and cost.

Skills

Python programming

LLMs experience

RAG/embeddings

Knowledge-based AI systems

Independent decision making

System design fundamentals

Ability to work across backend, data,

Tools

Git

Docker

LangGraph

LangChain

LlamaIndex

Semantic Kernel

Job description

Job Summary

Forward Deployed AI Engineer - Pune, India. As a Forward Deployed AI Engineer at Fresh Gravity, you'll turn ambiguous business problems into working AI solutions - designing, building, and iterating alongside users and clients until the solution delivers real value. This is a hands-on, high-impact role for engineers who are comfortable with ambiguity, move quickly, and take ownership beyond just writing code.

What You'll Do

• Own AI solutions end-to-end - from understanding the problem through architecture, deployment, and iteration
• Work directly with users, product leaders, and client teams to turn loosely defined ideas into usable products
• Build production-grade applications using LLMs, agents, RAG, structured data, and enterprise systems
• Design agentic workflows involving tool use, orchestration, memory/state management, and human-in-the-loop steps
• Rapidly prototype, gather feedback, and evolve solutions into scalable products
• Debug across prompts, models, retrieval, application code, data, and infrastructure to keep systems reliable
• Design scalable end-to-end systems across data, APIs, application logic, AI components, and user experience
• Make practical tradeoffs around performance, reliability, security, latency, and cost
• Work across backend, data, and UI layers as needed to deliver a complete usable solution

What You'll Bring

• Strong Python skills and experience building real software - not just notebooks and demos
• Hands-on experience with modern LLMs such as OpenAI, Anthropic, Gemini, Llama, or similar
• Practical experience with RAG, embeddings, semantic search, or knowledge-based AI systems
• Familiarity with agent/orchestration frameworks such as LangGraph, LangChain, LlamaIndex, or Semantic Kernel
• Comfort working with APIs, databases, Git, Docker, and cloud platforms
• Ability to work independently, make technical decisions, and figure things out when requirements are incomplete
• Strong system-design fundamentals, including data handling, APIs, scalability, reliability, and cost-conscious architecture
• Ability to think beyond the AI layer and design intuitive applications and user workflows

Nice to Have

• Experience evaluating AI systems across correctness, reliability, latency, cost, and business value
• Exposure to client-facing work such as workshops, discovery sessions, or proof-of-value engagements
• Good judgment on when to use prompting, retrieval, tools, deterministic logic, or traditional software instead of using an LLM for everything