Lead Software Engineer

We are looking for a Lead Software Engineer - AI who is passionate about building AI-driven enterprise-grade applications This role is for a hands-on technical leader who will drive the development of our next-generation platform for autonomous AI agents You ll be responsible for building optimizing and deploying intelligent systems that can reason plan and execute multi-step tasks within enterprise workflows Core Responsibilities Lead hands-on development Design build and optimize scalable production-grade systems for GenAI agents and multi-agent systems Orchestration and frameworks Implement and manage agentic workflows using frameworks like AutoGen CrewAI LangGraph and n8n System architecture Translate architectural designs into code ensuring systems are robust scalable and deployed effectively on cloud platforms AWS GCP Azure Integration and tooling Develop and integrate tool-augmented agents by connecting them to APIs databases and other enterprise systems Memory and RAG Engineer and optimize retrieval-augmented generation RAG pipelines including vector search Pinecone etc and embedding strategies Fine-tuning and LLMs Aware of applying fine-tuning techniques on LLM and how to handle build custom LLMs Prompt Mentorship Guide and mentor a team of engineers promoting best practices for AI development testing and deployment Key Skills and Experience 7 years of software engineering experience with a focus on AI ML Agents 3 years of experience specifically with GenAI and autonomous agent systems Strong proficiency in Python FastAPI RUST good to have and cloud services Expertise in agentic frameworks and workflows like AutoGen CrewAI LangGraph and n8n Deep knowledge of multi-agent orchestration RAG and vector search Experience with LLM fine-tuning and working with major LLM providers Hands-on experience building and integrating tool-augmented agents Familiarity with observability tools for AI systems Experience with infrastructure automation Terraform Excellent problem-solving skills leadership capabilities and a collaborative mindset Good to Have Prior experience in retail analytics supply chain or pricing domains Experience with container orchestration using Kubernetes Contributions to open-source AI ML projects or publications in relevant fields Why Join Us Work at the intersection of AI technology and real-world business impact Join a passionate and highly skilled global team delivering value to Fortune 500 companies Competitive compensation flexible work culture and growth opportunities in a high-impact role About Impact Analytics Impact AnalyticsTM Series D Funded delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics With a fully integrated end-to-end platform for planning forecasting merchandising pricing and promotions Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year s inputs to forecast and plan this year s business Powered by over one million machine learning models Impact Analytics has been leading AI innovation for a decade setting new benchmarks in forecasting planning and operational excellence across the retail grocery manufacturing and CPG sectors In 2025 Impact Analytics is at the forefront of the Agentic AI revolution delivering autonomous solutions that enable businesses to adapt in real time optimize operations and drive profitability without manual intervention Here s a link to our website Some of our accolades include Ranked as one of America s Fastest-Growing Companies by Financial Times for five consecutive years 2020-2024 Ranked as one of America s Fastest-Growing Private Companies by Inc 5000 for seven consecutive years 2018-2024 Voted 1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report Ranked 72 in America s Most Innovative Companies list in 2023-by Fortune-alongside companies like Microsoft Tesla Apple IBM etc Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools Recognized in multiple Gartner reports including Market Guides and Hype Cycle spanning assortments merchandising forecasting algorithmic retailing and Unified Price Promotion and Markdown Optimization Applications