AI Developer

Hyderabad, Telangana, India

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Accellor

Accellor transforms enterprises with AI-driven technologies, enabling smarter business strategies, operational efficiency, and personalized customer experiences.

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We are looking for a highly motivated and skilled Generative AI (GenAI) Developer to join our dynamic team. You will be responsible for building and deploying GenAI solutions using large language models (LLMs) to address real-world business challenges. The role involves working with cross-functional teams, applying prompt engineering and fine-tuning techniques, and building scalable AI-driven applications. A strong foundation in machine learning, NLP, and a passion for emerging GenAI technologies is essential.

 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

  • 2-3 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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: APIs AWS Azure Engineering FAISS GCP Generative AI LangChain LLaMA2 LLMs Machine Learning Model training NLP OpenAI Pinecone Prompt engineering Python RAG Unstructured data

Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Medical leave Salary bonus

Region: Asia/Pacific
Country: India

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