Teqfocus - Artificial Intelligence Engineer - Python (3-6 yrs)

About Teqfocus :

At Teqfocus, we don't just experiment with AI-we engineer and scale production-grade AI agents that revolutionize industries.

We are passionate about autonomous AI systems, agentic workflows, and LLM-driven intelligence.

If you're driven by innovation and eager to push the boundaries of what's possible with AI, this is the place for you.

Location : Pune/Bengaluru/Ranchi

About the Role :

As an Artificial Intelligence Engineer at Teqfocus, you will play a crucial role in building and scaling enterprise-grade, LLM-powered AI systems.

You will be at the forefront of AI innovation, working with cutting-edge technologies and contributing directly to the development of intelligent automation solutions.

This role offers the dynamic environment of a startup with the opportunity to own your impact, shape the roadmap, and be rewarded for your contributions.

As you grow, so will your opportunities within Teqfocus.

Responsibilities :

- Design, develop, and deploy scalable and robust AI systems powered by Large Language Models (LLMs).

- Implement and optimize AI automation workflows using NLP, deep learning, and multimodal models.

- Integrate LLMs (e.g, GPT, BERT, Claude) into production environments via Amazon Bedrock.

- Fine-tune and adapt foundation models for specific business needs.

- Develop and maintain APIs for seamless integration with other systems.

- Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.

- Research and evaluate new AI technologies and methodologies to stay at the cutting edge.

- Contribute to the development of best practices for AI development and deployment.

- Participate in code reviews and contribute to the overall quality of the codebase.

- Proactively identify and resolve technical challenges.

- Contribute to the overall AI strategy and roadmap of Teqfocus.

Required Skills :

- Programming Proficiency : Strong proficiency in Python.

- Machine Learning Frameworks : Hands-on experience with popular machine learning frameworks like TensorFlow or PyTorch.

- AWS Cloud Expertise : Experience with AWS services, particularly those related to AI/ML, including :

1. SageMaker

2. Amazon Lex

3. Comprehend

4. Polly

5. Bedrock

- Large Language Models (LLMs) : Hands-on experience working with LLMs (e.g, GPT, BERT, Claude) and deploying foundation models via Amazon Bedrock.

- Natural Language Processing (NLP) : Deep understanding of NLP techniques, including fine-tuning and integrating LLMs into production systems.

- AWS Architecture : Knowledge of API Gateway, Lambda, and serverless architectures on AWS.

- Software Development Lifecycle : Familiarity with agile development methodologies.

- Problem-Solving Skills : Strong analytical and problem-solving abilities.

- Communication Skills : Excellent communication and collaboration skills.

Preferred Skills (Optional) :

- Experience with other cloud platforms (e.g, GCP, Azure).

- Knowledge of containerization technologies (e.g, Docker, Kubernetes).

- Experience with MLOps tools and practices.

- Familiarity with different AI agent frameworks.

- Experience with multimodal AI models