Company Description :

Evoke Technologies is a global AI and enterprise technology company headquartered in Dayton, Ohio, with offices across the US, UK, Europe, Australia, and development centers in Hyderabad and Poland.

For over 20 years, the organization has helped enterprises modernize legacy systems, build scalable digital platforms, and translate AI into measurable business outcomes.

Its flagship AI Orbit platform focuses on Agentic AI systems, multi-agent architectures, and GenAI solutions that move reliably from proof-of-concept to governed, production-scale deployments.

Evoke serves 11 industries through multiple Centers of Excellence spanning AI/ML, Cloud, Data Engineering, QA, Automation, CRM/ERP, Low-Code, and Enterprise App Development, backed by strong compliance practices including HIPAA, SOC 2, and GDPR.

With more than 1,400 technologists worldwide, Evoke emphasizes AI-first engineering, robust delivery DNA, and long-term client partnerships.

Role Description :

The AI Senior Developer or Lead is a full-time hybrid role based in Hitech City of Hyderabad, with flexibility for partial work from home.

This role is responsible for designing, developing, and leading AI solutions, including agentic and multi-agent systems, GenAI-powered applications, and production-grade ML services aligned to business outcomes.

- Design, develop, and deploy Predictive AI and Generative AI solutions.

- Build and fine-tune Generative AI models for :

1. Text, image, audio, and video generation.

- Fine-tune Large Language Models (LLMs) such as :

1. GPT, LLaMA, Claude, Mistral, and open-source models.

- Develop and optimize prompt engineering strategies to enhance response quality, consistency, and reliability.

- Build AI-driven chatbots, virtual assistants, and autonomous agents.

- Train and optimize models using :

1. Structured and unstructured datasets.

2. Reinforcement learning techniques where applicable.

- Implement Retrieval-Augmented Generation (RAG) using embeddings and vector databases.

- Work extensively with TensorFlow, PyTorch, and Hugging Face Transformers.

- Deploy AI models on cloud platforms (AWS, Azure, GCP) or on-premises environments.

- Develop REST APIs and integrate AI models into enterprise-grade applications.

- Ensure model performance, scalability, security, and ethical AI compliance.

- Collaborate with cross-functional teams to deliver end-to-end AI solutions.

Skills Required :

- Strong proficiency in Python.

- Hands-on experience with TensorFlow, PyTorch, and Hugging Face.

- Strong understanding of :

1. Transformer architectures.

2. Large Language Model (LLM) fine-tuning.

3. Diffusion models.

- Experience working with LLM APIs such as :

1. OpenAI, Anthropic, Mistral, and other leading providers.

- Solid understanding of :

1. Prompt Engineering.

2. Retrieval-Augmented Generation (RAG).

3. Embeddings and vector databases.

- Experience building and consuming RESTful APIs.

- Working knowledge of cloud platforms: AWS, Azure, or GCP.

- Experience with containerization and orchestration using Docker and Kubernetes.