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Salary
≈ $22k – $51k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Jun 12, 2026. Ascendion scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Ascendion is an American technology services company created in 2022 when Collabera's digital engineering business was separated under private equity ownership and rebranded. It builds software, data platforms and applied artificial intelligence for enterprise clients across financial services, healthcare, retail, technology and communications, and it markets itself around engineering delivery accelerated by its own artificial intelligence tooling rather than around headcount. Headquartered in Basking Ridge, New Jersey with its largest delivery base in India, it employs several thousand engineers across North America, Europe and Asia.
About the Role"

We are looking for a GenAI Engineer with a strong foundation in Data Science and 4-5 years of industry experience. The ideal candidate should have expertise in designing and deploying Generative AI and Agentic AI systems, managing end-to-end development, and effectively communicating with clients.

"Job Title"

GenAI Engineer

"Responsibilities"

- Design and develop Generative and Agent-based AI solutions using LLMs, agent frameworks, and RAG pipelines.

- Engage in prompt engineering, model fine-tuning, and optimization for performance improvement.

- Create agentic systems capable of autonomous task execution.

- Integrate AI models with production environments using APIs, cloud services, and vector databases.

- Lead client engagements, gather requirements, present solutions, and manage feedback loops effectively.

- Stay updated on GenAI trends, tools, and techniques to apply them innovatively in real-world scenarios.

"Required Skills"

- 4-5 years of hands-on experience in Machine Learning, Deep Learning, and Generative AI applications.

- Strong background in Data Science with a bachelor's or master's degree in data science, Computer Science, or related fields.

- Expertise in GenAI tools like LangChain, AutoGen, OpenAI APIs, and other LLM ecosystems.

- Proficiency in Python, prompt engineering, and API integration.

- Experience in deploying and scaling AI models on cloud platforms (AWS or Azure).

- Ability to manage technical delivery while engaging with business stakeholders and clients.

"Desirable Skills"

- Experience with other AI frameworks and tools.

- Knowledge of natural language processing (NLP) techniques.

- Familiarity with big data technologies and databases.

"Education Qualification"

- Bachelor's or master's degree in Data Science, Computer Science, or related fields.

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