AI Developer

Accellor is an AI-native services firm focused on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. We help global innovators and Fortune 100 enterprises modernize their architectures, scale operations, and operationalize intelligence across the enterprise. Our core focus centers on transforming advanced AI from proofs-of-concept into production-grade systems. Spanning AI solutions, robust data services, enterprise applications, and product engineering — we tailor our offerings to the distinct operational needs of industries such as healthcare, life sciences, telecom, retail, financial services, and technology. Operating as an extension of our clients' teams, we combine design thinking with technology-agnostic architectures to ensure faster time-to-value and seamless system interoperability. From initial strategy to full-scale deployment, we build intelligent, connected ecosystems that drive sustained enterprise value and redefine the future of transformation. Responsibilities: Design, develop, and implement GenAI solutions using large language models (LLMs) to address specific business needs using Python. Collaborate with stakeholders to identify opportunities for GenAI integration and translate requirements into scalable solutions. Preprocess and analyze unstructured data (text, documents, etc.) for model training, fine-tuning, and evaluation. Apply prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) techniques to optimize LLM outputs. Deploy GenAI models and APIs into production environments, ensuring performance, scalability, and reliability. Monitor and maintain deployed solutions, incorporating improvements based on feedback and real-world usage. Stay up to date with the latest advancements in GenAI, LLMs, and orchestration tools (e.g., LangChain, LlamaIndex). Write clean, maintainable, and well-documented code, and contribute to team-wide code reviews and best practices Requirements: Minimum 2 years of relevant Proven experience as an AI Developer. Proficiency in Python Good understanding multiple of Gen AI models (OpenAI, LLAMA2, Mistral) and ability to setup up local GPTs using ollama, lm studio etc. Experience with LLMs, RAG (Retrieval-Augmented Generation), and vector databases (e.g., FAISS, Pinecone). Multi agents frameworks to create workflows Langchain or similar tools like lamaindex, langgraph etc. Knowledge of Machine Learning frameworks, libraries, and tools. Excellent problem-solving skills and solution mindset Strong communication and teamwork skills. Ability to work independently and manage ones time effectively. Experience with any of cloud platforms (AWS, GCP, Azure). Benefits Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You…