Freelance Agentic AI Engineer

3 weeks ago


Delhi, India CodeVyasa Full time

Looking for a Freelance Agentic AI Engineer to join a team of rockstar developers. The candidate should have a minimum of 4+ yrs. of experience.There are multiple openings. If you're looking for freelance/ part time opportunity (along with your day job) & a chance to work with the top 0.1% of developers in the industry, this one is for you You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers).Company Background - We are a multinational software company that is growing at a fast pace. We have offices in Florida & New Delhi. Our clientele spreads across the US, Australia & APAC. To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q2 2025.Responsibilities:- Architect and develop agentic AI systems capable of reasoning, planning, and tool usage.- Integrate with frameworks like LangChain, Auto-GPT, CrewAI, or custom orchestration layers.- Implement memory, goal-setting, and long-term task tracking systems for agents.- Connect agents with APIs, databases, web interfaces, and external tools.- Design and run experiments to test performance, improve accuracy, and reduce hallucinations.- Collaborate with product/design teams to shape user interaction with AI agents.Requirements:- Strong understanding of LLMs (GPT-4, Claude, etc.), prompt engineering, and token context management.- Hands-on experience with agentic AI frameworks like LangChain, Auto-GPT, BabyAGI, CrewAI, etc.- Proficiency in Python and experience with vector databases (like Pinecone, Weaviate, FAISS).- Familiarity with retrieval-augmented generation (RAG), tool calling, and multi-agent coordination.- Creative problem-solver with a mindset for experimentation and iteration.- Experience deploying models via APIs or embedding AI into real-world apps.Nice to Have:- Experience working with voice or multimodal agents (text + image + audio).- Familiarity with knowledge graphs, semantic search, or planning algorithms.- Exposure to Reinforcement Learning or feedback-based agent tuning.What we need-~35 hours of work per week.-100% remote from our side-You will be paid out every month.-Min 4yrs of experience-Please apply only if you have a 100% remote job currently-If you do well, this will continue for a long time



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