Senior Software Engineer - AI
ECI
Date: 1 week ago
City: Indore, Madhya Pradesh
Contract type: Full time

ECI is the leading global provider of managed services, cybersecurity, and business transformation for mid-market financial services organizations across the globe. From its unmatched range of services, ECI provides stability, security and improved business performance, freeing clients from technology concerns and enabling them to focus on running their businesses. More than 1,000 customers worldwide with over $3 trillion of assets under management put their trust in ECI.
At ECI, we believe success is driven by passion and purpose. Our passion for technology is only surpassed by our commitment to empowering our employees around the world.
The Opportunity:
ECI has an exciting Opportunity for Senior AI Engineer . We are seeking a highly skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have a strong background in Gen AI, NLP, Prompt Engineering, Multimodal AI and software engineering, with a proven track record of developing and deploying AI solutions using Python. You will play a key role in designing, implementing, and optimizing AI models to solve complex business problems, with a focus on Prompt Engineering, Retrieval-Augmented Generation (RAG), and Knowledge Graphs.
This is an Onsite role.
What you will do:
Love Your Job, Share Your Technology Passion, Create Your Future Here!
At ECI, we believe success is driven by passion and purpose. Our passion for technology is only surpassed by our commitment to empowering our employees around the world.
The Opportunity:
ECI has an exciting Opportunity for Senior AI Engineer . We are seeking a highly skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have a strong background in Gen AI, NLP, Prompt Engineering, Multimodal AI and software engineering, with a proven track record of developing and deploying AI solutions using Python. You will play a key role in designing, implementing, and optimizing AI models to solve complex business problems, with a focus on Prompt Engineering, Retrieval-Augmented Generation (RAG), and Knowledge Graphs.
This is an Onsite role.
What you will do:
- Collaborate with stakeholders: Work closely with product managers, clients to understand business requirements and translate them into technical solutions.
- Develop AI models:
- Design, implement, and fine-tune Generative AI models (e.g., GPT, LLMs) and NLP models for tasks such as text generation, sentiment analysis, and language modeling.
- Build and optimize Retrieval-Augmented Generation (RAG)/Agentic RAG pipelines for context-aware query responses.
- Implement Knowledge Graphs and Vector Databases for efficient data retrieval and contextual linking.
- Deploy and monitor models:
- Deploy AI models into production environments using cloud platforms (e.g., Azure, AWS, GCP).
- Monitor model performance, ensure reliability, and implement improvements for accuracy and scalability.
- API Integration: Proficiency in integrating AI models with various APIs to enhance functionality and streamline workflows
- Continuous improvement: Stay updated with the latest advancements in AI apply them to improve existing systems.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience: Minimum of 6 years of experience in AI and Python.
- Technical skills: Proficiency in programming languages such as Python, R, or Java. Experience with frameworks like LangChain, LlamaIndex,
- Deep Learning: Knowledge of neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and frameworks like TensorFlow and PyTorch
- Natural Language Processing (NLP): Techniques for text processing, sentiment analysis, and language modeling.
- Analytical skills: Strong problem-solving abilities and experience with statistical analysis and data visualization tools.
- Communication skills: Excellent verbal and written communication skills to effectively collaborate with cross-functional teams.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with DevOps practices and tools for continuous integration and deployment.
Love Your Job, Share Your Technology Passion, Create Your Future Here!
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