(04/10/2025) AI Engineer

3 weeks ago

Bengaluru India AskLaila Full time

Job Description

We are seeking a highly skilled and innovative AI Engineer to join our dynamic team. This role is ideal for someone passionate about large language models (LLMs), prompt engineering, and applied AI research. The candidate will work extensively with advanced LLMs, including Gemini, GPT, Claude, LLaMA, and open-source models to design, develop, and deploy AI-driven solutions that enhance business workflows and customer experiences.

The AI Engineer will be responsible for end-to-end model development, from experimentation and fine-tuning to production deployment, while ensuring scalability, reliability, and performance.

Responsibilities

- Design, develop, and deploy LLM-powered applications for a wide range of business use cases.
- Create, refine, and optimize prompts and prompt chains for maximum accuracy, efficiency, and robustness.
- Conduct experiments to evaluate model performance, benchmark across Gemini, GPT, Claude, LLaMA, and other LLMs, and recommend best-fit solutions.
- Fine-tune and adapt foundation models for domain-specific tasks using techniques such as parameter-efficient fine-tuning (LoRA, PEFT).
- Build and maintain scalable AI pipelines, APIs, and integrations with cloud platforms.
- Stay current with the latest AI/LLM research and emerging frameworks, and incorporate them into practical applications.
- Collaborate with product managers, data scientists, and engineering teams to align AI solutions with business objectives.
- Ensure responsible and ethical use of AI by adhering to data privacy, compliance, and governance standards.
- Document models, processes, and best practices to ensure reproducibility and team-wide knowledge sharing.

Requirements

- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
- 5+ years of experience in AI/ML, with at least 2+ years working directly on LLMs and NLP applications.
- Hands-on experience with prompt engineering, prompt tuning, and fine-tuning of LLMs.
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or LlamaIndex.
- Strong experience with data manipulation and analysis tools(SQL, Pandas, NumPy).
- Familiarity with cloud platforms(AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Knowledge of retrieval-augmented generation (RAG)pipelines, vector databases (e. g., Pinecone, Weaviate, FAISS), and model deployment strategies.
- Excellent problem-solving skills and ability to translate abstract business problems into AI-driven solutions.
- Strong communication and teamwork abilities, with a passion for applied AI innovation.

This job was posted by Bal Krishn Birla from AskLaila.

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