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 Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Disclaimer: -
Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic

Work arrangement
No