AI Developer

PhotonX Technologies: AI Developer - Mid-Level in Hyderabad

PhotonX Technologies is seeking experienced AI Developers to spearhead the design, development, and deployment of intelligent software solutions in Hyderabad. This on-site role is crucial for architecting and implementing complex AI/ML systems, mentoring junior developers, and fostering innovation within our AI initiatives. Candidates must possess expertise in GenAI, large language models (LLMs), and production-scale AI deployments, with a proven ability to translate business needs into robust technical solutions.

About the Role:

As an AI Developer, you will be instrumental in designing, developing, and deploying production-grade AI/ML models and systems. Key responsibilities include architecting and implementing RAG (Retrieval-Augmented Generation) pipelines, leading prompt engineering efforts to optimize LLM workflows for performance and cost-efficiency, and designing embedding strategies for vector databases such as Pinecone, Weaviate, Chroma, and Qdrant. You will build and deploy GenAI solutions using leading language models like GPT-4, Claude, Gemini, and Llama, while also conducting model training, fine-tuning, evaluation, and hyperparameter optimization. Implementing model monitoring, A/B testing, and continuous improvement strategies are also vital components of this role.

System Integration and Production Deployment:

This role involves designing and implementing scalable backend services and APIs for seamless AI model integration. You will build robust deployment pipelines using FastAPI, Flask, or similar frameworks, containerize applications with Docker, and orchestrate with Kubernetes. Deployment and management of AI infrastructure on cloud platforms such as AWS, Azure, and GCP are expected, along with optimizing model performance, latency, and cost for production environments. The development and maintenance of CI/CD pipelines for automated model deployment and monitoring, alongside ensuring security, compliance, and data privacy in AI systems, are critical.

Technical Leadership and Collaboration:

Lead technical discussions, provide architectural guidance on AI projects, and mentor junior AI developers through code reviews. Collaborate effectively with product managers, UI/UX designers, and full-stack developers to define AI features. Translate business requirements into detailed technical specifications and implementation plans. Prepare comprehensive documentation for system architecture, APIs, and workflows, and present technical solutions and progress updates to stakeholders.

Research and Innovation:

Stay abreast of the latest AI research, frameworks, and industry best practices. Evaluate and integrate new AI techniques and tools to enhance product capabilities. Drive proof-of-concept initiatives for emerging AI technologies and contribute to the development of internal AI frameworks and best practices.

Qualifications:

Education:

• B.Tech, B.E, MCA, M.Tech, or M.S. in Computer Science, AI, Data Science, or a related field with a strong academic background and relevant AI/ML coursework.

Essential Requirements:

• 2-5 years of professional experience in building and deploying AI/ML solutions in production.
• Proven track record of delivering end-to-end AI projects from conception to deployment.
• Expert-level proficiency in Python and modern software engineering practices.
• Deep understanding of machine learning algorithms, model evaluation, and statistical methods.
• Hands-on production experience with deep learning frameworks like TensorFlow and/or PyTorch.
• Demonstrable expertise in GenAI, LLMs, embeddings, and vector databases.
• Strong experience with RAG pipelines and prompt engineering techniques.
• Proficiency with Git, Linux/Unix, and modern development workflows.
• Experience with API development and microservices architecture.
• Strong problem-solving skills and the ability to debug complex AI systems.
• Excellent communication skills for effective collaboration in cross-functional teams.

Preferred Qualifications:

• Production experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Experience with model fine-tuning and custom training pipelines.
• Contributions to open-source AI projects or published research papers.
• Active participation in Kaggle competitions, AI hackathons, or ML conferences.
• Experience with MLOps practices and tools (MLflow, Weights & Biases, Kubeflow).
• Knowledge of model compression, quantization, and edge deployment.
• Experience with multi-modal AI systems (text, image, audio).
• Familiarity with AI safety, alignment, and responsible AI practices.

Technical Skills:

• Programming and Frameworks: Python (advanced), TensorFlow/PyTorch, NumPy, Pandas, scikit-learn. Highly desired: Hugging Face Transformers, LangChain, LlamaIndex, FastAPI or Flask. Nice to have: OpenCV, spaCy, CUDA programming, Rust or C++.
• AI/ML Specific: Advanced machine learning algorithms, deep learning architectures, neural networks, GenAI, LLMs, embeddings, vector databases, RAG pipelines, prompt engineering. Highly desired: Model fine-tuning, transfer learning, reinforcement learning, model evaluation and optimisation. Nice to have: Multi-modal models, diffusion models, AI agents, knowledge graphs.
• Deployment and Infrastructure: Git, Linux/Unix, FastAPI/Flask, REST APIs, Docker, cloud platforms (AWS, Azure, or GCP). Highly desired: Kubernetes, CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), model serving frameworks. Nice to have: Serverless architectures, streaming data pipelines, monitoring and observability tools.

Location:

This is a fully on-site role based at our Hyderabad office. Remote or hybrid arrangements are not available; candidates must be prepared to commute to the office daily.

Work Schedule:

This position follows a mandatory six-day workweek: Monday-Saturday, 10:00 AM to 8:00 PM. Attendance in the Hyderabad office is required for all scheduled workdays. Occasional variations for business needs may occur.

What We Offer:

An opportunity to lead cutting-edge AI projects for SaaS and enterprise clients, work with the latest GenAI and LLM technologies at scale, and take on a leadership role with mentorship and career advancement opportunities in a collaborative, innovation-driven environment. Gain exposure to diverse AI use cases, receive professional development support, and enjoy a competitive compensation package with performance incentives. You will have the chance to shape the AI strategy and technical direction of the company.