AI Software Engineer

About Impact Analytics

Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made.

Overview

The AI Senior Software Engineer builds and ships production-grade AI features within a defined domain of the company's applied AI platform. This is a hands-on individual-contributor role. You write and review production code, contribute to design decisions within your squad, and may informally guide one or two junior engineers.

Key Responsibilities

• Implement and evolve features across the GenAI reasoning and agentic AI platform in alignment with the reference architecture defined by the AI Architect.
• Build and ship agent workflows (ReAct, planner–executor, reflection, human-in-the-loop checkpoints).
• Implement tool and MCP integrations for connecting agents to enterprise systems.
• Implement and iterate on RAG pipelines: hybrid retrieval, query decomposition, GraphRAG, and citation grounding.
• Instrument telemetry and maintain continuous evaluation coverage for the features you build.
• Implement AI security controls and ensure compliance requirements are met.
• Profile and optimise inference for your workloads.

Required Qualifications

• 5+ years of software engineering experience, with 2+ years shipping production AI/ML systems and hands-on experience delivering LLM-powered applications (RAG, agents, fine-tuning).
• Hands-on proficiency in at least one agent orchestration framework.
• Experience with vector stores, embedding models, and hybrid retrieval with rerankers.
• Working knowledge of fine-tuning and inference optimisation.
• Solid MLOps / LLMOps foundations.
• Cloud experience on at least one of AWS, Azure, or GCP.
• Python proficiency at senior-engineer level; working knowledge of PyTorch and the HuggingFace stack.
• Strong communication skills.

Preferred Qualifications

• Experience building features for a multi-tenant GenAI SaaS product.
• Hands-on with MCP, A2A, or equivalent agent-tool interoperability standards.
• Exposure to VLMs / multimodal systems.
• Experience with small language models and on-prem / edge deployment.
• Familiarity with graph databases for GraphRAG and knowledge-graph workloads.
• Public contributions to AI open-source, technical blog posts, or conference talks are a plus.
• Graduate degree (MS) in CS, ML, or related.

What we offer

• An opportunity to be part of some of the best enterprise SaaS products to be built out of India.
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions.
• A flat, collegial work environment, with a work hard, play hard attitude.
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best-in-class industry standards with generous health insurance cover.